Linear Regression - HP 33s Owner's Manual

Example: Population Standard Deviation.
Grandma Hinkle has four grown sons with heights of 170, 173, 174, and 180 cm.
Find the population standard deviation of their heights.
Keys:
¹ ¡
/
170 173
/
174 180
º +
{σ  }

Linear regression

Linear regression, L.R. (also called linear estimation) is a statistical method for
finding a straight line that best fits a set of x,y–data.
Note
Menu Key
 ˆ
{ }
 ˆ
{ }
{  }
{  }
{  }
File name 33s-E-Manual-1008-Publication(1st).doc
Printed Date : 2003/10/8
Display:
{  }

/

/

 σ  σ 

To avoid a   message, enter your data before
executing any of the functions in the L.R. menu.
L.R. (Linear Regression) Menu
Estimates (predicts) x for a given hypothetical value of y,
based on the line calculated to fit the data.
Estimates (predicts) y for a given hypothetical value of x,
based on the line calculated to fit the data.
Correlation coefficient for the (x, y) data. The correlation
coefficient is a number in the range –1 through +1 that
measures how closely the calculated line fits the data.
Slope of the calculated line.
y–intercept of the calculated line.
Size : 13.7 x 21.2 cm
Description:
Clears the statistics registers.
Enters data. Four data points
accumulated.
Calculates the population
standard deviation.
Description
Statistical Operations
Page : 386
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